Coastal
morphological
changes
can
be
assessed
using
shoreline
position
observations
from
space.
However,
satellite-derived
waterline
(SDW)
and
(SDS;
SDW
corrected
for
hydrodynamic
contributions
outliers)
detection
methods
are
subject
to
several
sources
of
uncertainty
inaccuracy.
We
extracted
high-spatiotemporal-resolution
(~50
m-monthly)
time
series
mean
high
water
along
the
Columbia
River
Littoral
Cell
(CRLC),
located
on
US
Pacific
Northwest
coast,
Landsat
missions
(1984–2020).
examined
accuracy
SDS
mesotidal,
mildly
sloping,
high-energy
wave
climate
dissipative
beaches
CRLC
by
validating
them
against
20
years
quarterly
in
situ
beach
elevation
profiles.
found
that
heavily
depends
capability
identify
remove
outliers
correct
biases
stemming
tides
runup.
we
show
only
correcting
data
is
sufficient
accurately
measure
change
trends
CRLC.
Ultimately,
strong
agreement
with
data,
facilitating
spatiotemporal
analysis
coastal
highlighting
an
overall
accretion
signal
during
past
four
decades.
Earth Surface Processes and Landforms,
Год журнала:
2025,
Номер
50(4)
Опубликована: Март 25, 2025
Abstract
Contemporary
shoreline
change
is
driven
by
a
complex
combination
of
factors,
and
as
such
often
highly
variable
along
the
coast.
While
differences
in
beach
morphology
can
explain
some
variability
change,
geological
constraints
imposed
coastal
geology
are
overlooked.
This
work
examines
influence
foreshore
configurations
with
varying
degrees
non‐dynamic
control,
which
analysed
hydrodynamic
forcing
to
investigate
seasonal
multiannual
evolution
five
barriers
Outer
Hebrides,
Western
Scotland.
These
characterised
strongly
geologically
constrained
exposed
storm‐dominated
wave
climate.
Due
temporal
interval
between
available
cloud‐free
Planet
Scope
images,
monthly
averaged
vegetation
lines
from
2016
2023
were
derived
satellite
imagery
position
indicator
using
an
automated
approach
validated
visual
inspection.
The
satellite‐derived
have
sub‐pixel
accuracy
root
mean
square
error
3
m.
Changes
statistically
correlated
extreme
storm
conditions,
both
water
levels
conditions.
However,
control
exerted
configuration
results
distinct
inter‐
intra‐site
behaviour,
lower
observed
barrier
sectors
fronted
rocky
foreshores,
compared
sediment‐rich
foreshores.
small
but
significant
accreting
trend
(mean
0.4
m/yr),
likely
representing
recovery
winter
storms
that
impacted
northern
European
coasts
2013
2015.
demonstrate
considering
controls
assessments
improves
understanding
barriers,
allowing
identify
storm‐driven
behaviour
according
degree
control.
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Март 28, 2025
Coastal
erosion,
intensified
by
sea
level
rise,
poses
significant
threats
to
coastal
communities
in
Hawaiʻi
and
similar
island
communities.
This
study
projects
long-term
shoreline
change
on
the
Hawaiian
Island
of
O'ahu
using
data-assimilated
CoSMoS-COAST
model.
models
four
key
processes:
(1)
Alongshore
transport,
(2)
Recession
due
(3)
Cross-shore
transport
waves,
(4)
Residual
processes
represented
a
linear
trend
term.
marks
first
application
for
an
oceanic
equatorial
with
narrow
beaches
dynamic
wave
climate.
The
model
is
informed
novel
combination
data
derived
from
high-resolution
imagery
Planet,
Sentinel-2,
Landsat
satellites,
wave-climate
hindcasts
specific
Hawai'i,
regional
beach-slope
surveys.
On
northern
Oʻahu
beach,
achieved
root
mean
square
error
9.4
m
between
observations
output.
predicts
that
81%
O'ahu's
sandy
beach
coastline
could
experience
loss
2100;
39.8%
this
happening
2030.
represents
increase,
43.3%,
net
landward
compared
previous
erosion
forecasts,
0.3
rise
(2050).
Additionally,
such
as
cross-shore
equilibrium
alongshore
sediment
play
large
contribution
gross
within
next
decade,
particularly
O
'ahu's
north
west
shores.
In
long
term,
we
find
recession
residual
dominate,
but
dynamic,
wave-driven
(longshore
transport)
still
account
34%
present
2100.
We
assert
are
crucial
addition
accurate
modeling
environments.
These
findings
have
implications
planning
development,
suggesting
updates
policies
rely
upon
forecasting,
highlights
importance
incorporating
other
Pacific
islands.
Remote Sensing,
Год журнала:
2024,
Номер
16(4), С. 617 - 617
Опубликована: Фев. 7, 2024
The
accuracy
and
robustness
of
the
shoreline
definition
from
satellite
imagery
on
different
coastal
types
are
crucial
to
adequately
characterising
beach
morphology
dynamics.
However,
generic
widespread
application
satellite-derived
algorithms
is
limited
by
lack
robust
methods
parameter
assessments.
This
work
constitutes
a
quantitative
comprehensive
assessment
waterlines
Sentinel-2
using
novel
SAET
tool
(Shoreline
Analysis
Extraction
Tool)
exposed
mesotidal
La
Victoria
(Cádiz,
SW
Spain).
diverse
parameters
available
in
SAET,
such
as
water
indexes,
thresholding
methods,
morphological
filters,
kernel
sizes,
were
combined
define
water/land
interface
positions
that
compared
against
coincident
video-derived
waterlines.
Satellite-derived
waterline
errors
found
be
affected
extraction
parameters,
well
oceanographic
conditions
at
time
image
acquisition.
erosion
filter
mask,
which
tends
shift
extracted
seawards
reduce
bias,
best
solution
dissipative
site
Beach.
Moreover,
3
×
size
consistently
shows
higher
accuracies
than
larger
kernel.
Although
there
was
no
combination
showing
skill
for
all
dates,
employment
Automated
Water
Index
images
with
shadows
(AWEInsh)
threshold
=
0,
filter,
was,
overall,
this
(average
RMSE
5.96
m).
Modified
Normalised
Difference
(MDNWI)
Otsu
also
led
similar
resulting
offered
good
accuracies.
In
line
other
recent
research
efforts,
our
stresses
solutions
can
applied
automatically
global
level
necessity
adapt
validate
methodologies
coastlines.
Remote Sensing,
Год журнала:
2024,
Номер
16(15), С. 2795 - 2795
Опубликована: Июль 30, 2024
Beach
morphology
can
be
observed
over
large
spatio-temporal
scales,
and
future
shoreline
positions
predicted
coastal
risk
indicators
derived
by
measuring
satellite-derived
instantaneous
waterlines.
Long-term
satellite
missions,
such
as
Landsat
Sentinel-2,
provide
decades
of
freely
available,
high-resolution
optical
measurement
datasets,
enabling
large-scale
data
collection
relatively
high-frequency
monitoring
sandy
beaches.
Satellite-Derived
Shoreline
(SDS)
extraction
methods
are
emerging
increasingly
being
applied
scales.
SDS
generally
consists
two
steps:
a
mathematical
relationship
is
to
obtain
ratio
index
or
pixel
classification
machine-learning
algorithms,
the
land/sea
boundary
then
determined
edge
detection.
Indexes
from
lake
waterline
detection,
AWEI
NDWI,
often
transferred
towards
shore
without
taking
into
account
that
these
indexes
inherently
affected
wave
breaking.
This
overcome
using
filter
indices,
but
this
comes
at
computational
cost.
In
paper,
we
carry
out
thorough
evaluation
between
scene-dependent
variables
accuracy,
well
robust
efficient
thresholding
method
for
land–water
optimises
radiometry.
The
developed
beaches
combines
new
purpose-built
multispectral
(SCoWI)
with
refinement
Otsu’s
threshold
derive
sub-pixel
positions.
Secondly,
present
pipeline,
called
Shoreliner,
which
SCoWI
steps
produce
standardised
outputs.
Implemented
on
CNES
High
Performance
Cluster
(HPC),
Shoreliner
has
been
quantitatively
validated
Duck,
NC,
USA,
simultaneous
Sentinel-2
acquisitions
in
situ
beach
surveys
3-year
period.
Out
six
dates
have
acquisition
an
survey,
five
RMS
error
less
than
10
m.
performance
processing
demonstrates
ability
proposed
extract
reliable,
stable
addition,
preliminary
work
transferability
method,
initially
Level1C
imagery,
imagery.
When
evaluated
Duck
same
day,
imagery
several
minutes
apart
similar
results
detected
waterline,
within
method’s
precision.
Future
includes
global
validation
Landsat’s
40
years
combination
higher
resolution
different
locations
around
world.
Journal of Geophysical Research Machine Learning and Computation,
Год журнала:
2024,
Номер
1(3)
Опубликована: Июнь 27, 2024
Abstract
Understanding
and
predicting
changes
in
shoreline
location
are
critical
for
coastal
planners.
In
situ
monitoring
is
accurate
but
not
widely
available.
Satellite
observations
of
shorelines
have
global
coverage,
their
accuracy
predictive
capacity
been
fully
explored.
Abundant
beach
surveys
extensive
wave
Southern
California
provide
a
unique
ground
truth
the
interpretation
satellite‐derived
recently
wetted
waterlines.
We
combine
23
years
waterline
position
estimates
from
satellite
imagery
with
nearshore
hindcasts
tides
to
train
test
deep
neural
network
(DNN).
The
trained
DNN
uses
only
waves
as
predictors
at
transects
coverage
predict
width
and,
first
time,
seasonal
average
slopes.
Beach
hindcast
using
least
fair
skill
(>0.3)
50%
transects,
where
was
calculated
relative
mean
new
survey
data
San
Diego
County.
also
predicted
within
10
m
(the
nominal
uncertainty
shorelines)
64%
lacking
truth.
slope
agree
qualitatively.
Cambridge Prisms Coastal Futures,
Год журнала:
2024,
Номер
2
Опубликована: Янв. 1, 2024
An
abstract
is
not
available
for
this
content.
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you
have
access
to
content,
full
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content
provided
on
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of
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through
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action
button.
Journal of Marine Science and Engineering,
Год журнала:
2024,
Номер
12(11), С. 1921 - 1921
Опубликована: Окт. 28, 2024
Beach
erosion
and
shoreline
dynamics
are
strongly
affected
by
alterations
in
nearshore
wave
intensity
energy,
especially
the
context
of
global
climate
change.
However,
existing
works
do
not
thoroughly
study
evolution
sandy
coasts
eastern
Hainan
Island,
China,
nor
their
responses
to
change
driven
variability.
This
focuses
on
open
coast
assesses
evolutionary
response
variability
over
a
30-year
period
from
1994
2023,
using
an
open-source
software
toolkit
that
semi-automatically
identify
shorelines
(CoastSat
v2.4)
reanalysis
datasets
(ERA5).
The
area
were
extracted
CoastSat,
then
tidal
correction
outlier
performed
for
clearer
shorelines.
Combining
changes
conditions
derived
ERA5,
further
studied.
findings
reveal
average
long-term
rate
along
Island
is
0.03
m/year,
with
44.8%
transects
experiencing
55.2%
showing
accretion.
And
distinct
patterns
emerge
across
different
sections.
Interannual
marked
alternating
siltation
cycles,
while
most
sections
experiences
clear
seasonal
fluctuations,
accretion
typically
occurring
during
summer
winter.
El
Niño–Southern
Oscillation
(ENSO)
cycles
drive
parameters
including
significant
height,
mean
period,
energy
flux,
direction,
leading
climate.
multi-scale
behavior
responds
distinctly
ongoing
triggered
ENSO
viability,
Niño
events
resulting
La
Niña
periods
causing
erosion.
Notably,
direction
metric
closely
linked
among
all
others.
In
conclusion,
interplay
escalating
anthropogenic
activities,
natural
processes,
contributes
We
believe
this
can
offer
scientific
reference
prevention
management
strategies
beaches,
based
analysis
presented
above.
Journal of Marine Science and Engineering,
Год журнала:
2024,
Номер
12(12), С. 2179 - 2179
Опубликована: Ноя. 28, 2024
The
shoreline
of
Quang
Nam
province
in
Central
Vietnam
has
been
experiencing
persistent
erosion,
posing
a
significant
threat
to
coastal
communities
and
their
livelihoods.
This
study
analyzes
eight
years
Landsat-7/8/9
Sentinel-2
images
examine
changes
along
Tam
Tien
Beach
during
the
period
2015–2022,
identifying
patterns
erosion
deposition.
analysis
75
transects
over
an
11
km
stretch
sandy
revealed
that
approximately
84%
exhibited
with
44
60
showing
retreat
averaging
around
2.5
m/year.
results
also
demonstrated
seasonal
variability
related
monsoon
regimes.
translational
rotational
shift
was
examined,
influence
wave
energy
flux
direction
were
clarified.
applied
Empirical
Orthogonal
Eigenfunction
explore
relationship
between
translation,
rotation,
rate
change.
Under
expected
future
climate
change,
underlines
vulnerability
severe
events.
These
findings
are
key
predicting
impacts,
designing
effective
protection
structures,
mitigating
managing
resources.